| Unintended consequences of machine learning in medicine F Cabitza, R Rasoini, GF Gensini Jama 318 (6), 517-518, 2017 | 881 | 2017 |
| Detection of COVID-19 infection from routine blood exams with machine learning: a feasibility study D Brinati, A Campagner, D Ferrari, M Locatelli, G Banfi, F Cabitza Journal of medical systems 44, 1-12, 2020 | 389 | 2020 |
| Machine learning in orthopedics: a literature review F Cabitza, A Locoro, G Banfi Frontiers in bioengineering and biotechnology 6, 75, 2018 | 216 | 2018 |
| Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests F Cabitza, A Campagner, D Ferrari, C Di Resta, D Ceriotti, E Sabetta, ... Clinical Chemistry and Laboratory Medicine (CCLM) 59 (2), 421-431, 2021 | 188 | 2021 |
| The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies F Cabitza, A Campagner International Journal of Medical Informatics 153, 104510, 2021 | 179 | 2021 |
| The importance of being external. methodological insights for the external validation of machine learning models in medicine F Cabitza, A Campagner, F Soares, LG de Guadiana-Romualdo, F Challa, ... Computer Methods and Programs in Biomedicine 208, 106288, 2021 | 138 | 2021 |
| Infectious and thromboembolic complications of arthroscopic shoulder surgery P Randelli, A Castagna, F Cabitza, P Cabitza, P Arrigoni, M Denti Journal of shoulder and elbow surgery 19 (1), 97-101, 2010 | 116 | 2010 |
| Machine learning in laboratory medicine: waiting for the flood? F Cabitza, G Banfi Clinical Chemistry and Laboratory Medicine (CCLM) 56 (4), 516-524, 2018 | 113 | 2018 |
| When once is not enough: the role of redundancy in a hospital ward setting F Cabitza, M Sarini, C Simone, M Telaro Proceedings of the 2005 ACM International Conference on Supporting Group …, 2005 | 102 | 2005 |
| Data work in healthcare: An Introduction C Bossen, KH Pine, F Cabitza, G Ellingsen, EM Piras Health Informatics Journal 25 (3), 465-474, 2019 | 99 | 2019 |
| Static and interactive infographics in daily tasks: A value-in-use and quality of interaction user study A Locoro, F Cabitza, R Actis-Grosso, C Batini Computers in Human Behavior 71, 240-257, 2017 | 90 | 2017 |
| A data quality methodology for heterogeneous data B Carlo, B Daniele, C Federico, G Simone Int. J. Database Manag. Syst 3 (1), 60-79, 2011 | 90 | 2011 |
| Bridging the “last mile” gap between AI implementation and operation:“data awareness” that matters F Cabitza, A Campagner, C Balsano Annals of translational medicine 8 (7), 2020 | 88 | 2020 |
| The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence F Cabitza, JD Zeitoun Annals of translational medicine 7 (8), 2019 | 79 | 2019 |
| Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European … J Cadamuro, F Cabitza, Z Debeljak, S De Bruyne, G Frans, SM Perez, ... Clinical Chemistry and Laboratory Medicine (CCLM) 61 (7), 1158-1166, 2023 | 78 | 2023 |
| Interpretable heartbeat classification using local model-agnostic explanations on ECGs I Neves, D Folgado, S Santos, M Barandas, A Campagner, L Ronzio, ... Computers in Biology and Medicine 133, 104393, 2021 | 78 | 2021 |
| The revival of the notes field: leveraging the unstructured content in electronic health records M Assale, LG Dui, A Cina, A Seveso, F Cabitza Frontiers in medicine 6, 66, 2019 | 75 | 2019 |
| Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions L Longo, M Brcic, F Cabitza, J Choi, R Confalonieri, J Del Ser, R Guidotti, ... Information Fusion 106, 102301, 2024 | 74 | 2024 |
| A comprehensive data quality methodology for web and structured data C Batini, F Cabitza, C Cappiello, C Francalanci International Journal of Innovative Computing and Applications 1 (3), 205-218, 2008 | 73 | 2008 |
| Toward a perspectivist turn in ground truthing for predictive computing F Cabitza, A Campagner, V Basile Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6860-6868, 2023 | 72 | 2023 |
Andrea CampagnerPostDoc Researcher @ IRCCS Ospedale Galeazzi Sant'Ambrogio, Lecturer @ University of Milano-BicoccaEmail verificata su unimib.it
